Demo - Tracking - Problem - Online Estimation

This simulation demonstrates a basic object tracking system using Kalman filtering.

The red circle represents the true position of the object, the blue circle represents the sensor measurement (with noise), and the green circle represents the estimated position after applying the Kalman filter.

This approach is commonly used in autonomous vehicles, robotics, and surveillance systems to track moving objects while minimizing noise in sensor data.